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CODI: A multidimensional theory of mereotopology with closure operations

机译:CODI:用闭包运算的小型手板学的多维理论

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Geometric data models form the backbone of virtually all spatial information systems, such as GIS, CAD, and CAM. Yet a lot of spatial information from textual sources, including historical documents or social media, is predominantly of qualitative, especially mereotopological, rather than geometric-quantitative nature. While mereotopological theories have been extensively studied in Logic, Computer Science, Cognitive Science, and Geographic Information Science, most are unidimensional mereotopologies in the sense that only entities of a single dimension are permitted to co-exist. Integrating mereotopological information with geometric data requires a multidimensional mereotopology, which permits entities of different dimensions to co-exist, similarly to how geometric and algebraic topological data models permit points, simple lines, polylines, cells, polygons, and polyhedra to co-exist. It further requires complex spatial objects to be represented as sets of atomic entities such that spatial relations between complex objects can be computed from the relations of the atomic entities in their decomposition.This paper provides a comprehensive study of CODI, a first-order logic ontology of multidimensional mereotopology. An axiomatization of mereological closure operations of intersection, difference, and sums for CODI is proposed in which these operations apply to all pairs of spatial entities regardless of their dimension. It is proved that for atomic models - and thus all finite models - the extended theory is indeed able to decompose all spatial entities into a partition of atomic parts. A full representation of the models as sets of Boolean algebras verifies this. The closure operations are further shown to satisfy important mereological principles from unidimensional mereotopology and to preserve many of the mathematical properties of set intersection and set difference.
机译:几何数据模型形成几乎所有空间信息系统的骨干,例如GIS,CAD和CAM。然而,来自文本来源的许多空间信息,包括历史文档或社交媒体,主要是定性,特别是小型表般的,而不是几何定量性质。虽然在逻辑,计算机科学,认知科学和地理信息科学中已经广泛地研究了一封鸟类理论,但大多数是单象的小型手板术,因为只有单一维度的实体被允许共存。与几何数据相结合,需要一种多维表胜地,其允许不同尺寸的实体共存,类似于几何和代数拓扑数据模型如何允许点,简单的线条,折线,细胞,多边形和共存的多层。它还需要复杂的空间对象作为原子实体组的组,使得可以从原子实体在分解中的关系中计算复杂对象之间的空间关系。本文提供了对Codi的全面研究,一阶逻辑本体多维表薄层学。提出了交叉路口,差异和总和的信息闭合操作的公理化,其中这些操作对于它们的尺寸无论多个空间实体都适用于所有相对的空间实体。事实证明,对于原子模型 - 因此,所有有限模型 - 扩展理论确实能够将所有空间实体分解成原子部的分区。作为布尔代数集的模型完整表示验证了这一点。进一步示出了封闭作业以满足单向小型化学学的重要信息原理,并保留许多设定交叉点和设定差的数学特性。

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